An Application of Spearman’s Rho in Blind Deconvolution of Seismic Data
Rongrong Wang, Fei Yun Xu, Xiaobo Zhou · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2016
The paper proposes a novel seismic blind deconvolution approach based on the Spearman's rho in the case of band-limited seismic data with a low dominant frequency and short data records.The spearman's rho is a measure of the dependence between two continuous random variables without the influence of the marginal distributions, by which a new criterion for blind deconvolution is constructed.The optimization program for new criterion of blind deconvolution is performed by applying Neidell's wavelet model to the inverse filter.The simulation test and actual seismic data processing results show that this method can effectively expand the frequency band of seismic records, and enhance the resolution of seismic date.